Hand-tuning prompts per model is what we automated.
If you're hand-writing prompts and remembering which model uses `--ar 16:9` (Midjourney) vs natural language (Flux) vs `(weighted:1.3)` tokens (Stable Diffusion) vs structured style anchors (GPT-image), you're carrying a mental cache that doesn't scale. Promptibus MCP captures community-tested syntax per model in `optimize_prompt`, validates with `lint_prompt`, and skips the 'wait — what was the v7 syntax again?' lookup loop.
Stay manual if you have 3-5 prompts a week and know each model deeply. Use Promptibus if your AI agent generates prompts at any volume.
| Feature | Promptibus | Manual prompt engineering |
|---|---|---|
| Speed per prompt | ~200ms (one MCP call) | 30s–5min (read docs, recall syntax, draft, validate) |
| Syntax accuracy | Community-tested + auto-updated as models evolve | Depends on your memory + how recently you read docs |
| Deprecation handling | Auto — lints flags like --style raw on Midjourney v6+ | You discover the failure when generation produces garbage |
| Cross-model comparison | Side-by-side in one call | Open 5 browser tabs |
| Cost projection | Built in | DIY math per model |
| Onboarding for new team members | 0 ramp — just install MCP | Senior shares prompt cookbook, junior reads for hours |
Promptibus doesn't replace your judgment — it captures the syntax + linting layer so you can focus on the creative content. You still write the actual concept; we just make sure it's formatted correctly for the target model.
Free tier: 100 calls/day. No credit card.